code: def predict(self, X):
      if X.ndim == 1:
          X = X[None, :]
      m, v = self.model.predict(X)
      v = np.clip(v, 1e-10, np.inf)
      return m, np.sqrt(v)
  
file_path: GPyOpt/GPyOpt/models/warpedgpmodel.py
imports: import numpy
  import GPy
  from .base import BOModel
label_desc: Use image node_id 4 for calling the WarpedGPModel obj's underlying member method code with example usage: obj.predict(X) and returns: m,  np